Convergence Rates and Limit Theorems for the Dual Markov Branching Process

Author

Pakes, Anthony G.

Source

Journal of Probability and Statistics

Issue

Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-13, 13 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2017-03-16

Country of Publication

Egypt

No. of Pages

13

Main Subjects

Mathematics

Abstract EN

This paper studies aspects of the Siegmund dual of the Markov branching process.

The principal results are optimal convergence rates of its transition function and limit theorems in the case that it is not positive recurrent.

Additional discussion is given about specifications of the Markov branching process and its dual.

The dualising Markov branching processes need not be regular or even conservative.

American Psychological Association (APA)

Pakes, Anthony G.. 2017. Convergence Rates and Limit Theorems for the Dual Markov Branching Process. Journal of Probability and Statistics،Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1186251

Modern Language Association (MLA)

Pakes, Anthony G.. Convergence Rates and Limit Theorems for the Dual Markov Branching Process. Journal of Probability and Statistics No. 2017 (2017), pp.1-13.
https://search.emarefa.net/detail/BIM-1186251

American Medical Association (AMA)

Pakes, Anthony G.. Convergence Rates and Limit Theorems for the Dual Markov Branching Process. Journal of Probability and Statistics. 2017. Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1186251

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1186251